Epsilon01's repositories
Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
mlbookcamp-code
The code from the Machine Learning Bookcamp book and a free course based on the book
AlgorithmsWithTests
A bunch of leet code solutions with Jest tests.
ArabicCompetitiveProgramming
The repository contains the ENGLISH description files attached to the video series in my ARABIC algorithms channel.
Artificial-Intelligence-By-Example-Second-Edition
Artificial Intelligence By Example Second Edition, published by Packt
bgslibrary
A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT
coding-interview-university
A complete computer science study plan to become a software engineer.
computer_vision
Some basic algorithms to learn computer vision.
coursera-dl
Script for downloading Coursera.org videos and naming them.
CS-7642-Reinforcement-Learning-Notes
In this repository, I will publish my notes for GaTech's Reinforcement Learning course CS7642.
feature-selection-for-machine-learning
Code Repository for the online course Feature Selection for Machine Learning
labgen
Source code of the LaBGen stationary background generation method.
machine_learning
Some basic algorithms to learn machine learning.
manim
Animation engine for explanatory math videos
neural-style
Torch implementation of neural style algorithm
nevergrad
A Python toolbox for performing gradient-free optimization
pytorch-Deep-Learning
Deep Learning (with PyTorch)
Seeing-Theory
A visual introduction to probability and statistics.
SegNet-Tutorial
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
Semantic-Segmentation-using-Fully-Convolutional-Networks
In this project, we'll construct a fully convolutional neural network based on the VGGNet-16 architecture to perform semantic segmentation on a video captured from a front facing camera mounted on a vehicle dashboard to identify the drivable surface area.
study_group_Practical_Statistics_for_Data_Scientists
Practical Statistics for Data Scientists 50+ Essential Concepts Using R and Python 2nd edition
Understanding-deep-Convolutional-Neural-Networks-with-a-practical-use-case-in-Tensorflow-and-Keras
What makes convnets so powerful at image classification?